Method for quality inspection of measured temperature values of intensive automatic weather station

Abstract

The invention relates to a method for quality inspection of measured temperature values of an intensive automatic weather station. According to the method, the deviation index of the measured temperature of the intensive automatic weather station in each sub-grid is calculated through partition of multi-level spatial sub-grids, a temperature deviation function is obtained through fitting, thus, the deviation index of the measured temperature of the intensive automatic weather station in each fine-grained sub-grid is calculated by use of the function, the ideal error between different intensiveautomatic weather stations is calculated by using the index, the error is used as part of threshold determination during spatial consistency inspection, a threshold determination algorithm is improved, and the accuracy of the quality control method based on spatial consistency inspection is improved.

Description

technical field [0001] The invention relates to the field of atmospheric science, in particular to a method for quality checking the actual temperature values ​​measured by encrypted automatic weather stations. Background technique [0002] Encrypted automatic weather station (hereinafter referred to as automatic station) is a kind of meteorological equipment used to observe real-time weather conditions such as temperature, humidity, wind direction, wind speed and air pressure. Compared with conventional surface meteorological stations, automatic stations have the characteristics of dense station distribution, high observation frequency, and strong real-time data. If the quality of these observation data is reliable, it will be able to greatly improve the analysis and forecast level of mesoscale weather systems in my country, especially to provide a refined data source for the initial field data of the forecast. However, due to the limitations of objective conditions such a...

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Problems solved by technology

However, the spatial consistency check also has certain limitations: First, the method uses spatial interpolation calculations, and each quality control check needs to use the actual measurement records of several automatic stations geographically adjacent to the checked automatic station

If there are errors in the actual measurement records of these adjacent automatic stations, resulting in errors in the interpolation calculation results, it will definitely affect the accuracy of the quality control inspection, and may even misjudge the correct actual measurement records as errors

The second is that the temperature has a great correlation with the altitude of the automatic station. In the general case without considering the inversion, the temperature will drop by 6-9 degrees Celsius for every 1 km increase in the altitude. In the real atmospheric environment, this The relationship between temperature and altitude is very uncertain

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